The Grasping Neural Process trains robots to infer invisible physical properties from a history of attempted grasps, and then use the inferred properties to guess which grasps would work well in the future.
Engineers at the Fraunhofer Institute for Photonic Microsystems (IPMS) here have developed a new system that combines sensor technology, data acquisition and AI-based data evaluation for condition monitoring and predictive maintenance.
According to Info-Tech, companies should adopt Smart Manufacturing 5.0, which combines the innovations of Industry 4.0 with a focus on human-centric, resilient and sustainable practices.
WASHINGTON—The National Association of Manufacturers has released a report on artificial intelligence that examines why the technology is important and explains how leading companies are using it to improve productivity.
AMHERST, MA—New research from the University of Massachusetts Amherst shows that programming robots to create their own teams and voluntarily wait for their teammates results in faster task completion, with the potential to improve manufacturing, agriculture and warehouse automation.
Boston University recently opened its Robotics and Autonomous Systems Teaching and Innovation Center (RASTIC)
where students can design, build and test a wide range of robots to solve real-world problems.
